class Config():
    timestep = 1 # 时间步长，滑动窗口大小，从1改为7
    '''
    特征改动1
    '''
    feature_size = 14  # 每个步长对应的特征数量
    batch_size = 1  # 批次大小
    # output_size = 1  # 单输出任务，输出层为1
    hidden_size = 14  # 隐藏层大小128
    num_layers = 2  # blstm的层数
    learning_rate = 0.001  # 学习率0.0002
    epochs = 150  # 迭代轮数500
    model_name = 'lstm'  # 模型名
    best_loss = 0.00002  # 记录损失
    file_path = r'.\load1025.pth'
    save_path = r'.\load1025.pth'
    dropout = 0.2



